Skills
ETL/ELT
Data Pipelines
Data Engineering
About the Role
We’re seeking a highly skilled, analytical Data Engineer to design, build, and maintain our data infrastructure. In this role, you’ll create and optimize ETL/ELT pipelines and data workflows that enable efficient storage, processing, and analytics for large-scale datasets.
Responsibilities
- Design, develop, and maintain data pipelines for reliable ingestion, transformation, and delivery
- Build ETL/ELT processes that support scalable data storage and processing
- Collaborate with data scientists, analysts, and engineering teams to ensure data is dependable and accessible
- Automate and optimize data workflows to improve performance and reduce operational overhead
- Maintain data quality and support secure, consistent data availability for decision-making
Requirements
- Strong technical background in data engineering and pipeline development
- Analytical mindset with the ability to troubleshoot and optimize complex data processes
- Experience working cross-functionally in a collaborative, fast-paced environment
- Passion for automation and continuous improvement in data systems
Benefits
- Opportunity to work on high-impact data infrastructure and large-scale datasets
- Collaborative team environment with close partnership across analytics and engineering
- Focus on scalable, reliable data foundations for business insights
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